agent-designer

Designing multi-agent systems involves selecting an appropriate architecture pattern like Supervisor or Swarm, defining agent roles, and establishing communication topologies to structure interactions. This approach generates implementation roadmaps and Mermaid diagrams for visualization.

Choosing a multi-agent architecture pattern requires evaluating system requirements to match them with structures like Single Agent, Supervisor, Swarm, Hierarchical, or Pipeline. This selection defines how agents communicate, coordinate tasks, and scale within the overall system.

Defining agent roles in multi-agent orchestration requires assigning specific capabilities and responsibilities to each agent based on the system's workflow. This ensures clear task distribution, robust tool design, and efficient communication across the topology.

Evaluating multi-agent system performance before implementation uses established frameworks to assess reliability, cost, and operational metrics. This assessment helps validate the architecture design and predict potential bottlenecks prior to writing code.

Use a hierarchical multi-agent system for structured, top-down task delegation, whereas a swarm architecture suits decentralized, peer-to-peer coordination. The choice depends on your system requirements for control, communication topology, and agent autonomy.